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build-test-package-python-cuda.yml
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name: 'Package RTK with CUDA'
on: [push,pull_request]
env:
itk-wheel-tag: 'v5.4.0'
itk-python-package-tag: '45cfd02a22661731ca5b155f210cfa2f887d50e7'
itk-python-package-org: 'SimonRit'
itk-module-deps: "RTKConsortium/ITKCudaCommon@cae7c93c2f6d4c5b3cb5f6e5ce4a97686e626bf7"
jobs:
build-linux-cuda-python-packages:
runs-on: self-hosted-linux
strategy:
max-parallel: 2
matrix:
python3-minor-version: ["8","9","10","11"]
manylinux-platform: ["_2_28-x64","2014-x64"]
cuda-version: ["116","121"]
steps:
- uses: actions/checkout@v3
- name: 'Fetch build script'
run: |
IPP_DOWNLOAD_GIT_TAG=${{ env.itk-python-package-tag }}
IPP_DOWNLOAD_ORG=${{ env.itk-python-package-org }}
curl -L https://raw.githubusercontent.com/${IPP_DOWNLOAD_ORG:=InsightSoftwareConsortium}/ITKPythonPackage/${IPP_DOWNLOAD_GIT_TAG:=master}/scripts/dockcross-manylinux-download-cache-and-build-module-wheels.sh -O
chmod u+x dockcross-manylinux-download-cache-and-build-module-wheels.sh
- name: 'Build 🐍 Python 📦 package'
shell: bash
run: |
rm -rf dist
export ITK_PACKAGE_VERSION=${{ env.itk-wheel-tag }}
export ITKPYTHONPACKAGE_TAG=${{ env.itk-python-package-tag }}
export ITKPYTHONPACKAGE_ORG=${{ env.itk-python-package-org }}
export ITK_MODULE_PREQ=${{ env.itk-module-deps }}
export CUDA_VERSION=${{ matrix.cuda-version }}
export CUDA_VERSION_MAJOR=`(echo ${CUDA_VERSION} | cut -b1-2)`
export CUDA_VERSION_MINOR=`(echo ${CUDA_VERSION} | cut -b3-)`
CMAKE_OPTIONS="-DRTK_CUDA_VERSION=${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}"
CMAKE_OPTIONS="${CMAKE_OPTIONS} -DRTK_BUILD_APPLICATIONS:BOOL=OFF"
CMAKE_OPTIONS="${CMAKE_OPTIONS} -DCUDAToolkit_ROOT=/usr/lib64/cuda${CUDA_VERSION}"
CMAKE_OPTIONS="${CMAKE_OPTIONS} -DCMAKE_CUDA_COMPILER=/usr/lib64/cuda${CUDA_VERSION}/bin/nvcc"
# The first two are not library paths but are included to be mounted in the
# docker by dockcross-manylinux-build-module-wheels.sh
export LD_LIBRARY_PATH="/home/srit/Downloads/cuda${CUDA_VERSION}"
export LD_LIBRARY_PATH="/usr/lib64/libcuda.so.1:$LD_LIBRARY_PATH"
export LD_LIBRARY_PATH="/home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib:$LD_LIBRARY_PATH"
if test -e ../../ITKPythonBuilds-linux-manylinux2014.tar.zst ; then
mv ../../*zst .
fi
MANYLINUX_PLATFORM=${{ matrix.manylinux-platform }}
if test ${MANYLINUX_PLATFORM} == "_2_28-x64" && test ${CUDA_VERSION} -lt 120; then
export IMAGE_TAG=20230106-1aeaea0
CMAKE_OPTIONS="${CMAKE_OPTIONS} -DITK_USE_PYTHON_LIMITED_API=FALSE"
fi
CMAKE_OPTIONS=(--cmake_options "${CMAKE_OPTIONS}")
echo "Manylinux platform ${MANYLINUX_PLATFORM}"
rm -rf ITKPythonPackage
export MANYLINUX_VERSION=`(echo ${MANYLINUX_PLATFORM} | cut -d '-' -f 1)`
export TARGET_ARCH=`(echo ${MANYLINUX_PLATFORM} | cut -d '-' -f 2)`
export ITK_MODULE_NO_CLEANUP=TRUE
echo "Building for manylinux specialization ${MANYLINUX_VERSION} and target architecture ${TARGET_ARCH}"
LIBCUDART=`basename /home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib/libcudart.so.${CUDA_VERSION_MAJOR}*`
LIBCUBLAS=`basename /home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib/libcublas.so.${CUDA_VERSION_MAJOR}*`
LIBCUBLASLT=`basename /home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib/libcublasLt.so.${CUDA_VERSION_MAJOR}*`
LIBCUFFT=`basename /home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib/libcufft.so.$((${CUDA_VERSION_MAJOR}-1))*`
sed -i "s/dependencies = \[/dependencies = [ \"itk-cudacommon-cuda${CUDA_VERSION} == 1.1.*\",/g" pyproject.toml
sed -i "s/itk-rtk/itk-rtk-cuda${CUDA_VERSION}/g" pyproject.toml
./dockcross-manylinux-download-cache-and-build-module-wheels.sh "${CMAKE_OPTIONS[@]}" -x "libcuda.so.1;${LIBCUDART};${LIBCUBLAS};${LIBCUBLASLT};${LIBCUFFT}" cp3${{ matrix.python3-minor-version }}
mv *zst ../..
- name: Validate build output
shell: bash
run: |
/home/srit/miniconda3/envs/py310/bin/python -m pip install twine
ls dist/
MANYLINUX_PLATFORM=${{ matrix.manylinux-platform }}
MANYLINUX_VERSION=`(echo ${MANYLINUX_PLATFORM} | cut -d '-' -f 1)`
TARGET_ARCH_NAME=`(echo ${MANYLINUX_PLATFORM} | cut -d '-' -f 2)`
if [[ ${TARGET_ARCH_NAME} == "x64" ]]; then
TARGET_ARCH_NAME="x86_64" # Match auditwheel naming convention
fi
WHEEL_PATTERN="dist/itk_*cp3${{ matrix.python3-minor-version }}*manylinux${MANYLINUX_VERSION}*${TARGET_ARCH_NAME}.whl"
echo "Searching for wheels matching pattern ${WHEEL_PATTERN}"
/home/srit/miniconda3/envs/py310/bin/python -m twine check ${WHEEL_PATTERN}
- name: Publish Python package as GitHub Artifact
uses: actions/upload-artifact@v3
with:
name: LinuxWheel3${{ matrix.python3-minor-version }}${{ matrix.manylinux-platform }}-cuda${{ matrix.cuda-version }}
path: dist/*.whl
build-windows-cuda-python-packages:
runs-on: self-hosted-windows
strategy:
max-parallel: 2
matrix:
python3-minor-version: ["8","9","10","11"]
cuda-version: ["116","121"]
steps:
- uses: actions/checkout@v4
with:
path: "im"
- name: 'Reduce source path length'
shell: bash
run: |
# Move ITKPythonBuilds archive to the checked-out source
if test -f ../../im/ITKPythonBuilds-windows.zip; then
mv ../../im/*.zip im
fi
rm -fr ../../im
# Move checked-out source to a shorter path to avoid Windows path length issues
mv im ../../
- name: 'Fetch build script'
shell: pwsh
run: |
cd ../../im
$ITKPYTHONPACKAGE_TAG = "${{ env.itk-python-package-tag }}"
$ITKPYTHONPACKAGE_ORG = "${{ env.itk-python-package-org }}"
$SCRIPT_UPSTREAM = "https://raw.githubusercontent.com/$ITKPYTHONPACKAGE_ORG/ITKPythonPackage/$ITKPYTHONPACKAGE_TAG/scripts/windows-download-cache-and-build-module-wheels.ps1"
echo "Fetching $SCRIPT_UPSTREAM"
(new-object net.webclient).DownloadString($SCRIPT_UPSTREAM) > windows-download-cache-and-build-module-wheels.ps1
- name: 'Build 🐍 Python 📦 package'
shell: pwsh
run: |
if (Test-Path dist) { rm dist -r -fo }
cd ../../im
& "C:\Program Files\Microsoft Visual Studio\2022\Community\Common7\Tools\Launch-VsDevShell.ps1" -Arch amd64 -SkipAutomaticLocation
$env:CC="cl.exe"
$env:CXX="cl.exe"
$env:ITK_PACKAGE_VERSION = "${{ env.itk-wheel-tag }}"
$env:ITKPYTHONPACKAGE_TAG = "${{ env.itk-python-package-tag }}"
$env:ITKPYTHONPACKAGE_ORG = "${{ env.itk-python-package-org }}"
$env:ITK_MODULE_PREQ = "${{ env.itk-module-deps }}"
$CUDA_VERSION = "${{ matrix.cuda-version }}"
$CUDA_VERSION_MAJOR=$CUDA_VERSION.substring(0,2)
$CUDA_VERSION_MINOR=$CUDA_VERSION.substring(2,$CUDA_VERSION.Length-2)
$env:CUDA_PATH = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}"
$env:CUDACXX = "$env:CUDA_PATH\bin\nvcc.exe"
$env:Path = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin;" + $env:Path
$LIBCUDART= (Get-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\cudart64*dll" ).Name
$LIBCUBLAS= (Get-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\cublas64*dll" ).Name
$LIBCUBLASLT= (Get-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\cublasLt64*dll" ).Name
$LIBCUFFT= (Get-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\cufft64*dll" ).Name
((Get-Content -Path pyproject.toml) -replace "itk-rtk","itk-rtk-cuda${CUDA_VERSION}") | Set-Content -Path pyproject.toml
((Get-Content -Path pyproject.toml) -replace "dependencies = \[","dependencies = [""itk-cudacommon-cuda${CUDA_VERSION} == 1.1.*"",") | Set-Content -Path pyproject.toml
./windows-download-cache-and-build-module-wheels.ps1 "${{ matrix.python3-minor-version }}" -setup_options "--lib-paths ""C:/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}/bin"" --exclude-libs ""nvcuda.dll;concrt140.dll;${LIBCUDART};${LIBCUBLAS};${LIBCUBLASLT};${LIBCUFFT}""" -cmake_options """-DRTK_CUDA_VERSION=${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}"" ""-DRTK_BUILD_APPLICATIONS:BOOL=OFF"""
mkdir -p '${{ github.workspace }}\dist'
cp 'dist\*.whl' '${{ github.workspace }}\dist'
- name: Validate build output
shell: pwsh
run: |
python -m pip install twine
ls dist/
$WHEEL_PATTERN = "dist/itk_*cp3${{ matrix.python3-minor-version }}*win*.whl"
echo "Searching for wheels matching pattern ${WHEEL_PATTERN}"
python -m twine check ${WHEEL_PATTERN}
- name: Publish Python package as GitHub Artifact
uses: actions/upload-artifact@v4
with:
name: WindowsWheel3${{ matrix.python3-minor-version }}-cuda${{ matrix.cuda-version }}
path: dist/*.whl
publish-python-packages-to-pypi:
needs:
- build-linux-cuda-python-packages
- build-windows-cuda-python-packages
runs-on: ubuntu-22.04
steps:
- name: Download Python Packages
uses: actions/download-artifact@v4
- name: Prepare packages for upload
run: |
ls -R
for d in */; do
mv ${d}/*.whl .
done
mkdir dist
mv *.whl dist/
ls dist
- name: Publish 🐍 Python 📦 package to PyPI
if: github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags')
uses: pypa/gh-action-pypi-publish@v1.5.1
with:
skip_existing: true
user: __token__
password: ${{ secrets.pypi_password }}